
% Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
% Date and time: Tue, Jul 04, 2023 - 21:14:09
\begin{table}[!htbp] \centering 
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\begin{tabular}{@{\extracolsep{5pt}}lcccc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{4}{c}{\textit{Dependent variable:}} \\ 
\cline{2-5} 
\\[-1.8ex] & \multicolumn{4}{c}{Percentage of Tweets with Soft News} \\ 
 & CGTN & Xinhua & People's Daily & China Daily \\ 
\\[-1.8ex] & (1) & (2) & (3) & (4)\\ 
\hline \\[-1.8ex] 
 Baseline Trend & $-$0.001 & 0.01$^{***}$ & 0.002 & 0.01$^{***}$ \\ 
  & (0.001) & (0.001) & (0.001) & (0.001) \\ 
  & & & & \\ 
 Level Change & 15.74$^{***}$ & $-$1.56 & $-$3.87$^{*}$ & 10.16$^{***}$ \\ 
  & (1.68) & (1.46) & (2.01) & (1.71) \\ 
  & & & & \\ 
 Trend Change & 0.01$^{***}$ & $-$0.01$^{***}$ & 0.01$^{***}$ & $-$0.03$^{***}$ \\ 
  & (0.003) & (0.002) & (0.003) & (0.003) \\ 
  & & & & \\ 
 Baseline Percentage Tweets with Soft News & 21.49$^{***}$ & 34.05$^{***}$ & 31.15$^{***}$ & 36.41$^{***}$ \\ 
  & (1.00) & (0.85) & (1.19) & (1.00) \\ 
  & & & & \\ 
\hline \\[-1.8ex] 
Observations & 2,340 & 2,418 & 2,306 & 2,429 \\ 
Log Likelihood & $-$9,199.00 & $-$9,175.40 & $-$9,128.96 & $-$9,489.11 \\ 
Akaike Inf. Crit. & 18,410.00 & 18,362.79 & 18,269.91 & 18,990.22 \\ 
Bayesian Inf. Crit. & 18,444.53 & 18,397.53 & 18,304.36 & 19,024.99 \\ 
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\textit{Note:}  & \multicolumn{4}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table} 
